温州大学学报（自然科学版）
溫州大學學報（自然科學版）
온주대학학보（자연과학판）
JOURNAL OF WENZHOU UNIVERSITY(NATURAL SCIENCES)
2014年
2期
51-57
,共7页
数据融合%复合变换%GM(1,1)模型%沉降预测
數據融閤%複閤變換%GM(1,1)模型%沉降預測
수거융합%복합변환%GM(1,1)모형%침강예측
Data Fusion%Composite Conversion%GM (1.1) Model%Subsidence Prediction
矿区地表沉降一直以来是矿山安全管理部门关注的重点，准确地预测矿区地表沉降可以给矿山安全带来指导性的意义。运用“幂函数-指数函数”的复合变换来提高监测原始数据的平滑度，然后对具有多个沉降监测数据的特定年份，运用 GM(1,1)模型来预测地表沉降，利用数据融合算法对多次预测的结果进行优化分析，获得精度较高的预测结果。运用该方法对某矿区地表沉降数据进行预测，结果表明该模型具有良好的预测能力。
礦區地錶沉降一直以來是礦山安全管理部門關註的重點，準確地預測礦區地錶沉降可以給礦山安全帶來指導性的意義。運用“冪函數-指數函數”的複閤變換來提高鑑測原始數據的平滑度，然後對具有多箇沉降鑑測數據的特定年份，運用 GM(1,1)模型來預測地錶沉降，利用數據融閤算法對多次預測的結果進行優化分析，穫得精度較高的預測結果。運用該方法對某礦區地錶沉降數據進行預測，結果錶明該模型具有良好的預測能力。
광구지표침강일직이래시광산안전관리부문관주적중점，준학지예측광구지표침강가이급광산안전대래지도성적의의。운용“멱함수-지수함수”적복합변환래제고감측원시수거적평활도，연후대구유다개침강감측수거적특정년빈，운용 GM(1,1)모형래예측지표침강，이용수거융합산법대다차예측적결과진행우화분석，획득정도교고적예측결과。운용해방법대모광구지표침강수거진행예측，결과표명해모형구유량호적예측능력。
Surface subsidence in mining areas is always the focus concerned by the safety department of mines. Thus, accurate prediction of surface subsidence in mines means significantly to mine safety. We can make use of the composite conversion of"power function-exponential function"to improve the evenness of monitoring primary data and then to predict the ground surface settlement by means of GM(1.1) Model regarding to a particular year with multiple settlement monitoring data. The optimized analysis to results of multiple predictions is made out of data fusion in order to obtain more accurate prediction results. The author ever made a mining area subsidence prediction in this method, which turn to prove that GM(1.1) Model possesses an ideal predictive power.
